Instructors

World-class educators with unrivaled industry experience. The best team to build your data science proficiency and career success.

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Who are our instructors?

Corporate Expertise

The 365 instructors don't just teach data science – they share hands-on expertise in ways that benefit students. You learn from professionals that hold top positions at blue-chip companies around the globe, apply best practices, inform decisions, and provide unique perspectives.

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Top-tier Education

Your instructors hold degrees from some of the world’s most elite universities. Their diverse qualifications contribute to our top-level course methodology, supportive attitude, and uplifting approach to teaching.

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Meet Your Instructors

Andrew Treadway

Andrew Treadway

Data Collection | Machine Learning | Python

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Andrew Treadway

Main qualifications

Data Collection | Machine Learning | Python

Andrew is a Senior Data Scientist at New York Life Insurance Company. He previously held roles as a Data Scientist and as a Statistical Programmer / Analyst for prominent corporations. During his work experience, he has utilized Python, R, and SQL, among other tools, to drive business decisions, automate the renewal process, and build machine learning models that assess risk and streamline inefficiencies. He has also managed consultants, mentored junior data scientists, and led internal training sessions on Python, R, and other technical topics.
In his free time, Andrew leads meetup groups on bioinformatics and open source programming, and writes blog posts for TheAutomatic.net. His articles have also appeared on R-bloggers, Interactive Brokers, and R Weekly.

Specialized in:

Machine Learning
Computer Security
Algorithm Design

Formal Qualification:

MA in Computer Science/Machine Learning (Georgia Institute of Technology)
BA in Mathematics, Cum Laude (Clemson University)
CPCU, The Institutes

Achievements:

Published Yahoo_fin and PyPly Python packages

Danielle Thè

Danielle Thè

Machine Learning | Product management

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Danielle Thè

Main qualifications

Machine Learning | Product management

Currently a Senior Product Manager for Applied Machine Learning, Danielle has a longstanding expertise in product marketing and management. Prior to joining our team, she worked for Google where she was Project Management lead on Google Impact Challenge voting site and Google.org consulting project for a mobile user interface for individuals with cognitive disabilities. Her extensive experience includes working with Data Scientists to leverage Natural Language Processing in storytelling for Wattpad, as well as founding Developers Without Borders – an online platform that connects software developers worldwide with development projects. Danielle describes herself as “a tech enthusiast that makes the digital world easy to understand”.

Specialized in:

Product management for Applied Machine Learning
Project management
Team Leadership

Formal Qualification:

MA in Science in Management (Ivey Business School at Western University)
CEMS MSc in International Management (Esade Business & Law School)
Honors Double Major, Management & Political Science (Western University)

Achievements:

Global Impact: Ivey Emerging Leaders Award

Elitsa Kaloyanova

Elitsa Kaloyanova

Excel | Python | R | Tableau

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Elitsa Kaloyanova

Main qualifications

Excel | Python | R | Tableau

Elitsa Kaloyanova is a Computational Biologist with expertise in the fields of algorithms and data structures, phylogenetics, and population genetics. She has a strong academic background in Bioinformatics with publications on constructing Phylogenetic Networks and Trees for the Analysis of Genetic Datasets. Elitsa’s experience informs her analytical approach to each student’s needs, adding to her agility and allowing her to transpose both theoretical knowledge and ideas.
When not at the office, she enjoys hiking and windsurfing, as much as curling up with a good book or laughing hard at British comedy sketches.

Specialized in:

Algorithms and Data Structures
Phylogenetics and Population Genetics
Machine Learning

Formal Qualification:

MA in Computational Biology (University of Saarland)
BSc in Bioinformatics (University of Saarland)

Achievements:

Publication in Constructing Phylogenetic Trees and Networks

Giles McMullen-Klein

Giles McMullen-Klein

Data Analysis | Data Science | Python

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Giles McMullen-Klein

Main qualifications

Data Analysis | Data Science | Python

Giles is an Oxford-trained medical physicist and data scientist turned Python instructor. His dynamic interactive teaching style has inspired legions of fans. And his educational programming and data science videos on YouTube have amassed over 6 million views.
Giles is particularly interested in the applications of Python to data, machine learning, modeling and artificial intelligence.
Prior to discovering his passion for data science, he was a successful financial journalist and a popular radio host.

Specialized in:

Python programming
Physics
Machine Learning

Formal Qualification:

First-class honors degree in Physics (Oxford University)

Achievements:

Research publication in the Journal of the American College of Cardiology (JACC: Cardiovascular Imaging)

Iliya Valchanov

Iliya Valchanov

Deep Learning | Machine Learning | Statistics

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Iliya Valchanov

Main qualifications

Deep Learning | Machine Learning | Statistics

Iliya is co-founder of 365 Data Science and a Finance graduate with a wide range of expertise spanning mathematics, statistics, programming, machine learning, and deep learning. In his courses, he shares his extensive experience in predictive modeling, complex analysis techniques, and optimization algorithms.
Iliya has a BA in International Economics, Management and Finance from Bocconi University where he was Founder and President of the Bocconi Students Mathematics and Logics Association. When not working, you will find him catching up with the latest technology trends, sailing, or enjoying exquisite food.

Specialized in:

Mathematics
Machine learning
Deep learning

Formal Qualification:

BA in Finance (Bocconi University)

Achievements:

Mathematics competitor with more than 90 national and international awards.

Iskren Vankov

Iskren Vankov

Deep Learning | Machine Learning | RNNs

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Iskren Vankov

Main qualifications

Deep Learning | Machine Learning | RNNs

A top-of-class graduate from Edinburgh, Caltech, and Oxford, Iskren is a true academic force with over 8 years of industry experience, from Junior developer to Head Of Research And Development. He holds numerous prestigious awards, including the Microsoft Research Award for best Informatics dissertation and the BSc Computer Science and Physics Class Prize for the highest mark in his degree program.

Iskren’s research background in Quantum Computation and experience in Machine Learning, both theory and applications, have contributed greatly to both our Deep Learning with TensorFlow course and the upcoming CNNs course in our program.

Specialized in:

Quantum Computing
Machine Learning
Mathematics

Formal Qualification:

MSc in Computer Science, First Class (Oxford University)
BSc in Computer Science and Physics, First Class (The University of Edinburgh/ Caltech)

Achievements:

Top of class graduate from Edinburgh, Caltech, and Oxford
Microsoft Research Award for best Informatics dissertation and class prize for highest mark in degree

Ken Jee

Ken Jee

Data Science Consulting | Data Science Recruitment | Data Science Team Lead

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Ken Jee

Main qualifications

Data Science Consulting | Data Science Recruitment | Data Science Team Lead

Ken Jee has worked for several prominent industries: consulting (Scouts Consulting Group where he is currently Head of Data Science), start-ups (GoHealth), and conglomerates like GE. A firm believer that it’s “all about the big picture”, he has made it his mission to stay up to date with the newest technologies and analytic techniques. Ken uses his rich experience in recruitment of data scientists to provide invaluable first-hand insights into landing a job in the field. He is “passionate about sports, food, and data science”.

Specialized in:

Computer Science
Machine Learning
Data Analytics

Formal Qualification:

MSc in Computer Science (DePaul University)
BS in Economics (Towson University)

Achievements:

Graduated with the highest GPA among Economics Students

Martin Ganchev

Martin Ganchev

Python | SQL | Tableau

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Martin Ganchev

Main qualifications

Python | SQL | Tableau

Martin Ganchev is the author of the Python, SQL, and Integration courses in the 365 Data Science Program. He has an MSc in Economic and Social Sciences from Bocconi University in Milan, Italy. Throughout his studies, Martin gained advanced knowledge of Mathematics, Statistics, Econometrics, Time-Series, and Behavioral Economics & Finance. His experience includes assisting an empirical research for Innocenzo Gasparini Institute of Economic Research and working for DG Justice and Consumers at the European Commission, where he handled data pre-processing, data quality checking, econometric and statistical analysis. Martin’s largely diverse talents include improv theatre and stand-up comedy performances.

Specialized in:

Python for Finance
Database fundamentals
SQL
Data Analysis and Data preprocessing
Financial Analysis and Economics

Formal Qualification:

MSc in Economic and Social Sciences (Bocconi University)
BA in International Economics, Management and Finance

Achievements:

Internship at Unit E.1 – Consumer Markets, DG Justice and Consumers, European Commission

Nedko Krastev

Nedko Krastev

Analytics | Financial Advisory | M&A

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Nedko Krastev

Main qualifications

Analytics | Financial Advisory | M&A

Ned Krastev is the co-founder of 365 Data Science. He has a bachelor’s degree in Business Administration and Management, and a Master’s degree in Finance at Bocconi University in Milan, Italy.
Prior to starting up 365 Data Science, Ned had gained solid experience in financial advisory, and had worked for high-profile international companies, such as PwC (Italy), Coca-Cola (United Kingdom), and Infineon Technologies (Germany). Apart from all things finance, Ned admits he is a huge fan of non-working Sundays.

Specialized in:

Business strategy
Data analysis
Business intelligence
Financial Modeling
Financial Analysis
Competitive Analysis

Formal Qualification:

MA in Finance (Bocconi University)
BA in Business Administration and Management (Bocconi University)

Achievements:

Advised several $100M+ acquisitions
Advised a $3B+ asset sale

Nikola Pulev

Nikola Pulev

Data Collection | Machine Learning | Python

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Nikola Pulev

Main qualifications

Data Collection | Machine Learning | Python

Nikola Pulev is a Natural Sciences graduate from the University of Cambridge (UK) turned data science practitioner and a course instructor at 365 Data Science. Nikola has a passion for mathematics, physics, and programming. Over the years, he has taken part in multiple national and international competitions, where he has won numerous awards. Nikola prefers 200% over 80% difficulty (“80% is for the weak”) and we believe he can handle it with ease.

Specialized in:

Python modeling
Web Scraping
Programming
Mathematical Modeling
Physics

Formal Qualification:

BSc in Natural Sciences and Physics (University of Cambridge)

Achievements:

Silver medal from the International Physics Olympiad

Nikolay Georgiev

Nikolay Georgiev

Data Analytics | Python | Risk Modeling

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Nikolay Georgiev

Main qualifications

Data Analytics | Python | Risk Modeling

Currently Director of Data Science and Automation at KBC Group, Nikolay has a rich background in marketing analytics, risk modeling, and research. He has a Master’s degree in Science, and a Ph.D. in Economics and Business Administration. He boasts more than six years of experience in academic research at HEC Paris, BI Norwegian Business School, and The University of Texas at Austin, U.S. Nikolay has also worked on numerous projects for Coca-Cola Hellenic and Shawbrook Bank (UK) that involve building highly accurate quantitative models and solutions for customer portfolio management, credit risk, social media marketing research, and psychological targeting. When off-duty, you can spot Nikolay condition training at the gym or enjoying a healthy meal.

Specialized in:

Customer analytics
Credit risk modeling
Social network analysis
Data Analysis
Statistics
Quantitative models

Formal Qualification:

Ph.D. in Economics and Business Administration
MSc in Statistics and Financial Econometrics
BSc in Psychology

Achievements:

Author of eleven scientific publications presented at prestigious international conferences and colloquiums

Randy Roseel

Randy Roseel

Business Planning | Finance | Financial Analysis

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Randy Roseel

Main qualifications

Business Planning | Finance | Financial Analysis

Randy Rosseel is a Six Sigma Master Black Belt, and a CFA charter holder with ample executive experience. He has spent the large part of his career (more than 16 years) working for Coca-Cola European Partners as Business Controller and Finance Director for the corporate office. In the last couple of years, he has also been leading global change projects including setting up Shared Service Centers and a Business Analytics Center of Expertise.
All that experience has given Randy a unique perspective into business analytics, as he has seen how a world-class organization built up its analytics capabilities and positioned itself for success in the years to come. He also enjoys teaching which inspired him to share his expertise with you.

Specialized in:

FMCG
Business Process Improvements
Operations Management

Formal Qualification:

Advanced Diploma in Global Business Services (Hackett Institute)
Financial Management (Universiteit Antwerpen)

Achievements:

Six Sigma Master Black Belt
Lean Six Sigma Black Belt

Simona Dobreva

Simona Dobreva

Data Analytics | R | Statistics

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Simona Dobreva

Main qualifications

Data Analytics | R | Statistics

Simona is a Cognitive Science researcher by formal training and author of the R for Statistics and Data Science course in our program. Her rigorous academic approach and an uncompromising drive for excellence are the main contributors to her students’ success. Apart from graduating with Honors from The University of Edinburgh, Simona has been a Lead Research Technician during her studies, designing and running experimental manipulations and ensuring the diversity and representativeness in the data.
Simona is passionate about game development and game theory and is super excited about playing new games (while also about understanding what’s under their hood).

Specialized in:

Digital marketing
Data analysis in Excel and R
Quantitative Research
Cognitive Science

Formal Qualification:

MA with Honors in Psychology, First Class (The University of Edinburgh)

Achievements:

Daniel Garrad Prize awarded for distinction in Philosophy of Science, The University of Edinburgh

Viktor Mehandzhiyski

Viktor Mehandzhiyski

Probability | Python | Python for Finance

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Viktor Mehandzhiyski

Main qualifications

Probability | Python | Python for Finance

A Hamilton College graduate, Viktor has a double degree in Mathematics and Economics. His strong analytics background stems from his Statistics, Econometrics, Financial Time-Series Econometrics and Behavior Economics education. Vik’s coding experience includes working with C, C++, and Python, as well as the more math/econ-oriented MATLAB and STATA. He has been fascinated by coding algorithms since the age of 11 and describes himself as a “Bachelor of Science and overall cool guy”, and we couldn’t agree more.

Specialized in:

Mathematics
Linear algebra
Probability
Time series analysis
Probability Theory
Mathematical Modelling
Statistical Data Analysis

Formal Qualification:

BA in Mathematics and Economics (Hamilton College / The London School of Economics and Political Science)

Achievements:

Personal venture developing a model for forecasting transfer prices for soccer players across the top divisions in Europe.
Stock Market Indexes analysis on the effects of contagion on the effectiveness of international portfolio diversification

We Teach Through Values

Commitment

Commitment

We are committed to excellence in our curriculum. The program is constantly expanded with new courses to provide you with the most in-demand skills at no extra cost.

Progress

Progress

Each course builds up on your expertise to equip you with all the tools you need to become a confident data science professional.

Guidance

Guidance

Your expert instructors provide you with timely support, advice, and encouragement at every step of your learning journey.

Community

Community

Join a global community of successful students where everyone is welcome to start learning and achieve their goals.

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